Using observation-level random effects to model overdispersion in count data in ecology and evolution
Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation). Accounting for overdispersion in such models is vital, as failing to do so can lead to...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2014-10-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/616.pdf |